Cited by 441Tryptophan and brain disordersAdipokines, Inflammation, and Metabolic DiseasesRegulation of Appetite and Obesity

The menace of obesity to depression and anxiety prevalence

Open access
Fulton, Stephanie, Décarie-Spain, Léa, Fioramonti, Xavier, Guiard, Bruno, Nakajima, Shingo·2022·Trends in Endocrinology & Metabolism

Abstract

The incidence of depression and anxiety is amplified by obesity. Mounting evidence reveals that the psychiatric consequences of obesity stem from poor diet, inactivity, and visceral adipose accumulation. Resulting metabolic and vascular dysfunction, including inflammation, insulin and leptin resistance, and hypertension, have emerged as key risks to depression and anxiety development. Recent research advancements are exposing the important contribution of these different corollaries of obesity and their impact on neuroimmune status and the neural circuits controlling mood and emotional states. Along these lines, this review connects the clinical manifestations of depression and anxiety in obesity to our current understanding of the origins and biology of immunometabolic threats to central nervous system function and behavior.

AI snapshot

Written from the paper’s full text.

TL;DR

This review argues that obesity raises the risk of depression and anxiety mainly through immunometabolic and neuroinflammatory consequences of poor diet, inactivity, and visceral adiposity, rather than body weight alone. It synthesizes human epidemiological and rodent mechanistic evidence linking adipose and gut inflammation, neuroinflammation, neuroplastic and monoamine changes, and endocrine dysfunction to mood disorders.

Key findings

  • Obesity increases depression risk: a meta-analytic overview cited by the review reports that obese adults self-reporting symptoms have 23–36% increased odds of developing depressed mood versus nonobese controls, while clinically diagnosed MDD is elevated by 14–34%; obese adolescents have a 40% increased risk of being depressed.
  • Obesity also increases anxiety risk: the review states obesity heightens the odds of an anxiety disorder or anxiety symptoms by 30% and 40%, respectively, with a stronger relationship for severe obesity (BMI ≥ 35); diabetes is associated with a 48% greater likelihood of anxiety symptoms and a 20% higher risk of developing an anxiety disorder.
  • Sex and metabolic status matter: depression and anxiety disorder diagnoses are approximately double for obese women compared with obese men, and metabolically healthy obese individuals show either no increased risk or a modest elevated risk of depression diagnosis versus nonobese controls.
  • Proposed mechanisms include saturated fat and sugar intake, visceral adipose expansion, gut dysbiosis, peripheral inflammation (e.g., CRP, IL-6, TNFα), insulin and leptin resistance, HPA dysregulation, neuroinflammation, altered corticolimbic circuits, monoamine imbalances, and reduced hippocampal neurogenesis.

Methods

  • Narrative review; no primary data collection, systematic search, or meta-analysis is reported.
  • Synthesizes clinical and epidemiological observations with rodent models of diet-induced obesity, high-fat/high-sugar feeding, and depressive- or anxiety-like behaviors.
  • Main analysis is qualitative integration of evidence across immunometabolic, neuroinflammatory, neural circuit, monoamine, and endocrine domains.

Limitations

  • Stated: the causal relationship of diet-induced obesity to depression and anxiety in human studies is indirect; the literature linking inflammation to anxiety is much sparser; microbiota alterations across studies are conflicting and mechanisms remain unclear; the precise contribution of HPA activity and insulin’s role in mood circuits remain to be established; and it remains poorly understood to what degree particular changes are causal or a consequence of mood and metabolic changes.
  • Stated: human leptin studies are limited, and evidence for depression and obesity comorbidity is described as limited in the concluding remarks.
  • Evident: as a narrative review, it does not systematically quantify or appraise the evidence, and much mechanistic support comes from rodent models, so human causality and effect sizes are not established by this paper itself.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.tem.2021.10.005

Cites

167 of 167 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

0 of 136 cited sources checked · 0 supported · 0 flagged

  • Premisecitation
    § Epidemiology and clinical features

    Obese adolescents have a 40% increased risk of being depressed.

    “Emphasizing the importance of early detection and treatment, a longitudinal meta-analysis suggests that obese adolescents have a 40% increased risk of being depressed [19].”
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  • Premisecitation
    § Epidemiology and clinical features

    Obese adults self-reporting symptoms have 23-36% increased odds of developing depressed mood as compared with nonobese controls.

    “A meta-analytic overview illustrates that obese adults self-reporting symptoms have 23-36% increased odds of developing depressed mood as compared with nonobese controls, whereas clinically diagnosed MDD is elevated by 14-34% [2].”
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  • Premisecitation
    § Convergence of mood and metabolic deficits

    Obesity is coupled to structural and functional brain changes that are remarkably similar to those observed in depressive disorders, such as region-specific increases in cell density and compromised neural connectivity and excitability.

    “Obesity is coupled to various structural and functional changes in the brain that are remarkably similar to those observed in depressive disorders, such as regionspecific increases in cell density and compromised neural connectivity and excitability [5,6].”
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    § Convergence of mood and metabolic deficits

    The odds of developing major depressive disorder and anxiety increase as a function of the number of coexisting metabolic impairments, such as those characteristic of metabolic syndrome.

    “The odds of developing major depressive disorder (MDD) and anxiety increase as a function of the number of coexisting metabolic impairments, such as those characteristic of metabolic syndrome [3,4].”
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  • Premisecitation
    § Epidemiology and clinical features

    Obesity heightens the odds of anxiety symptoms by 40%.

    “A similar positive relationship is observed with anxiety: obesity heightens the odds of an anxiety disorder or anxiety symptoms (e.g., dread, unease) by 30% and 40%, respectively [1,20].”
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    Interpretationreasoning
    § Epidemiology and clinical features

    A vicious cycle can promote disease progression because atypical depression is predictive of overeating and weight gain, and metabolic risks can be intensified by antidepressant treatments that encourage weight gain.

    “As atypical depression is predictive of overeating and weight gain, and metabolic risks can be intensified by antidepressant treatments that encourage weight gain, a vicious cycle can promote disease progression.”
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    Premisecitation
    § Epidemiology and clinical features

    The odds and incidence of depression are higher when evaluating the waist-to-hip ratio or abdominal adiposity than when using BMI.

    “The odds of depression are higher when evaluating the waist-to-hip ratio [16,17] which provides a better estimate of visceral adiposity and metabolic dysfunction than BMI [18].”
    • Also stated in: § Adipose expansion · plain
      “Correspondingly, depression incidence is higher when assessing abdominal adiposity or the waist-to-hip ratio as compared with BMI [17].”
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    Premisecitation
    § Epidemiology and clinical features

    There is a bidirectional association between being overweight (BMI ≥ 25-29.99) and depression in men and women, a relationship that is stronger for obesity (BMI ≥ 30).

    “There is a bidirectional association between being overweight (BMI ≥ 25-29.99)and depression in men and women, a relationship that is stronger for obesity (BMI ≥ 30) [15].”
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    Interpretationreasoning
    § Convergence of mood and metabolic deficits

    Neuroinflammation alters structure, excitability, and connectivity in corticolimbic networks controlling mood, motivation, and emotion.

    “Neuroinflammation alters structure, excitability, and connectivity in corticolimbic networks controlling mood, motivation, and emotion.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Findings from rodent models of obesity and depressive- and anxiety-like behaviors translate to human depression and anxiety.
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given
    § Convergence of mood and metabolic deficits

    Adipose- and gut-derived inflammation and changes in brain nutrient composition stimulate neuroinflammation.

    “Adipose-and gut-derived inflammation and changes in brain nutrient composition stimulate neuroinflammation.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Findings from rodent models of obesity and depressive- and anxiety-like behaviors translate to human depression and anxiety.
    • Rests on an assumption: Gut microbiota alterations observed in diet-induced obese mice translate to human obesity-related mood dysfunction.
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    Interpretationreasoning
    § Convergence of mood and metabolic deficits

    Diets that include excess saturated fat and sugar intake promote metabolic dysfunction, neuroinflammation, and mental health impairments.

    “Diets that include excess saturated fat and sugar intake promote metabolic dysfunction, neuroinflammation, and mental health impairments.”
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    Premisecitation
    § Epidemiology and clinical features

    Individuals with atypical depression often have a more unrelenting course of depression, in part because they show a poorer response to antidepressants.

    “Individuals with atypical depression often have a more unrelenting course of depression [13], in part because they show a poorer response to antidepressants [14].”
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    Premisecitation
    § Food environment and nutrient actions

    Plasma levels of arachidonic acid positively correlate with major depressive disorder severity and reduced serotonin transporter binding in the brain.

    “Both EPA and DHA limit the inflammatory effect of eicosanoids derived from arachidonic acid, an omega-6 fatty acid with plasma levels that positively correlate with MDD severity and reduced serotonin transporter binding in the brain [50].”
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    Premisecitation
    § Food environment and nutrient actions

    Chronic saturated high-fat feeding increases saturated fatty acid levels and appreciably decreases polyunsaturated fatty acid levels in the brain of rodents.

    “Moreover, chronic saturated high-fat feeding increases saturated fatty acid levels and appreciably decreases PUFA levels in the brain of rodents [49], changes that are likely one means by which saturated dietary fats generate neuroinflammatory responses and mood deficits.”
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    Premisecitation
    § Food environment and nutrient actions

    Consumption of saturated fats and plasma concentrations of palmitate positively correlate with depressive symptoms and plasma C-reactive protein in humans.

    “Consumption of saturated fats [26] and plasma concentrations of the saturated fatty acid palmitate [27] positively correlate with depressive symptoms and plasma levels of the acute phase reactant C-reactive protein (CRP) in humans.”
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    § Food environment and nutrient actions

    Imposed dietary n-3 deficiency in rodents diminishes brain n-3 levels and stimulates neuroinflammation and anxiety- and depressive-like behaviors.

    “In contrast, low levels of blood n-3 PUFA correlate with heightened inflammatory status and depression risk in humans, whereas imposed dietary n-3 deficiency in rodents diminishes brain n-3 levels and stimulates neuroinflammation and anxiety-and depressive-like behaviors [47].”
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    Premisecitation
    § Food environment and nutrient actions

    N-3 supplementation dampens neuroinflammation and attenuates behavioral indices of mood deficits in rodents.

    “Several reports link higher n-3 consumption with lower prevalence and severity of mood disturbances in humans [45] and demonstrate that n-3 supplementation dampens neuroinflammation and attenuates behavioral indices of mood deficits in rodents [46,47].”
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    Premisecitation
    § Food environment and nutrient actions

    Prolonged high-fat diet elicits metabolic dysfunction and increases anxiety- and depressive-like behaviors in rodents.

    “To this end, rodent research has revealed that prolonged high-fat diet (HFD) elicits metabolic dysfunction and increases anxiety-and depressive-like behaviors [28][29][30][31][32][33][34][35][36], heightens stress and hypothalamic-pituitary-adrenal (HPA) responses [37,38], and triggers neurobehavioral deficits associated with blunted mesolimbic dopamine function [39][40][41].”
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    • Rests on an assumption: Findings from rodent models of obesity and depressive- and anxiety-like behaviors translate to human depression and anxiety.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § Box 1. Sex, gender, and metabolic risks

    The prevalence of major depressive disorder is more than threefold higher in people with type 1 diabetes than in those without, with greater rates in diabetic women than men.

    “Correspondingly, the prevalence of MDD is nearly twice as high in people with type 2 diabetes [159] and more than threefold higher in people with type 1 diabetes than those without, with greater rates in diabetic women than men [160].”
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    Premisecitation
    § Food environment and nutrient actions

    Low levels of blood n-3 polyunsaturated fatty acids correlate with heightened inflammatory status and depression risk in humans.

    “In contrast, low levels of blood n-3 PUFA correlate with heightened inflammatory status and depression risk in humans, whereas imposed dietary n-3 deficiency in rodents diminishes brain n-3 levels and stimulates neuroinflammation and anxiety-and depressive-like behaviors [47].”
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    Premisecitation
    § Food environment and nutrient actions

    Oleate can improve glycemic control and plasma lipid profiles in humans and protect against inflammation, hyperphagia, and anxiodepressive behaviors in mice.

    “Oleate, a monounsaturated fatty acid enriched in olive oil, can improve glycemic control and plasma lipid profiles in humans and protect against inflammation, hyperphagia, and anxiodepressive behaviors in mice [34,42].”
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    • Rests on an assumption: Findings from rodent models of obesity and depressive- and anxiety-like behaviors translate to human depression and anxiety.
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    Premisecitation
    § Gut dysbiosis

    Diet is the primary effector of microbiota composition, but psychological stress can also modulate flora in rodents and in patients with major depressive disorder.

    “Diet is the primary effector of microbiota composition, but psychological stress can also modulate flora in rodents and in patients with MDD [69,70].”
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    Interpretationnone given
    § Inflammatory conduits to the brain

    The literature linking inflammation to anxiety is much sparser than the literature linking inflammation to depression.

    “Likewise, individuals suffering from anxiety disorders can exhibit elevated circulating levels of inflammatory markers, including CRP, IL-1β, IL-6, and TNFα [63]; however, the literature linking inflammation to anxiety is much sparser.”
    Quote in the paperNot a substantial claim
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    Premisecitation
    § Gut dysbiosis

    Both the obese phenotype and anxiodepressive behaviors are transmissible by transplanting gut microbiota of diet-induced obese mice to normal-weight, germ-free mice.

    “Notably, both the obese phenotype [73] and anxiodepressive behaviors [74] are transmissible by transplanting gut microbiota of DIO to normal-weight, germ-free mice.”
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    • Rests on an assumption: Gut microbiota alterations observed in diet-induced obese mice translate to human obesity-related mood dysfunction.
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    Premisecitation
    § Inflammatory conduits to the brain

    Large cohort studies report higher CRP concentrations in depressed patients, making heightened CRP levels in obesity one of the best predictors of depression onset, particularly atypical depression.

    “Notably, large cohort studies report higher CRP concentrations in depressed patients, making heightened CRP levels in obesity one of the best predictors of depression onset, particularly atypical depression [66].”
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    Premisecitation
    § 2. Vascular pathology and blood-brain barrier (BBB) integrity

    Hypertension is a leading risk factor for depression incidence in obesity and causes neurovascular changes that involve the actions of perivascular macrophages to stimulate oxidative stress and inflammation that lead to cognitive dysfunction.

    “Hypertension is a leading risk factor for depression incidence in obesity and causes neurovascular changes that involve the actions of perivascular macrophages to stimulate oxidative stress and inflammation that lead to cognitive dysfunction [166].”
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    Premisecitation
    § Gut dysbiosis

    Several bacteria can produce metabolites that impact physiology and health, such as short-chain fatty acids, and molecules that affect neural signaling and excitability in mood networks, including serotonin and gamma-aminobutyric acid.

    “Several bacteria can produce other metabolites that can impact physiology and health, such as short-chain fatty acids, and several molecules with that can affect neural signaling and excitability in mood networks, including serotonin and gamma-aminobutyric acid (GABA) [69].”
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    Premisecitation
    § 2. Vascular pathology and blood-brain barrier (BBB) integrity

    The breakdown of the blood-brain barrier produced by peripheral immune challenge (lipopolysaccharide) permits passage of bone marrow-derived immune cells into the brain, a process enhanced by diet-induced obesity and that favors depressive behaviors.

    “The breakdown of the BBB produced by peripheral immune challenge (LPS) permits passage of bone marrow-derived immune cells into the brain, a process enhanced by DIO [163] and that favors depressive behaviors [164,165].”
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    Premisecitation
    § Gut dysbiosis

    Microglia dominate as contributors to neuroinflammation and several reports underscore their role in the neuroimmune pathogenesis of depression.

    “Microglia dominate as contributors to neuroinflammation and several reports underscore their role in the neuroimmune pathogenesis of depression [77].”
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    Premisecitation
    § Gut dysbiosis

    Deletion of T cell-dependent immunoglobulin A production enhances obesity, while reducing the abundance and diversity of Clostridium.

    “Deletion of T cell-dependent immunoglobulin A production enhances obesity, while reducing the abundance and diversity of Clostridium [75].”
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    Premisecitation
    § Adipose expansion

    In the absence of obesity development, saturated high-fat diets can still potentiate HPA reactivity and feedback and suppress behavioral responses to rewards in rodents.

    “However, in the absence of obesity development, these diets can still potentiate HPA reactivity [37] and feedback [38] and suppress behavioral responses to rewards [41].”
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    Premisecitation
    § Gut dysbiosis

    Significant reduction of Clostridium is also observed in major depressive disorder patients and its abundance is negatively correlated to the severity of anxiety and depression.

    “Interestingly, significant reduction of Clostridium is also observed in MDD patients and its abundance is negatively correlated to the severity of anxiety and depression [70].”
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    Premisecitation
    § Inflammatory conduits to the brain

    Obese individuals exhibiting elevated inflammation, particularly increases in CRP, are more likely to meet criteria for metabolic syndrome and to develop major depressive disorder and anxiety.

    “Obese individuals exhibiting elevated inflammation, particularly increases in CRP, are more likely to meet criteria for metabolic syndrome and to develop MDD and anxiety [65].”
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    Premisecitation
    § Adipose expansion

    Excess fat and sugar consumption favor the accumulation of visceral adipose tissue, which comprises a higher concentration of saturated fatty acids and is especially vulnerable to immune insults as compared with subcutaneous fat.

    “Excess fat and sugar consumption favor the accumulation of visceral adipose tissue, which comprises a higher concentration of saturated fatty acids and is especially vulnerable to immune insults as compared with subcutaneous fat [18].”
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    Premisecitation
    § Gut dysbiosis

    Monocytes can infiltrate the brain and differentiate into microglia that produce an inflammatory response that contributes to anxiety-like behavior.

    “In addition, monocytes can infiltrate the brain and differentiate into microglia that produce an inflammatory response that contributes to anxiety-like behavior [78].”
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    Premisecitation
    § Inflammatory conduits to the brain

    Dietary-derived saturated fatty acids and erythrocyte content of saturated fatty acids positively correlate with circulating measures of CRP and can contribute to inflammation by favoring TLR4 signaling in macrophages.

    “Dietary-derived saturated fatty acids [26] and erythrocyte content of saturated fatty acids (indicator of long-term consumption) [27], positively correlate with circulating measures of CRP and can contribute to inflammation by favoring TLR4 signaling in macrophages [67].”
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    § Gut dysbiosis

    Microbiota from diet-induced obese mice can weaken endothelial tight junctions and trigger inflammation in both intestine and brain and promote brain insulin resistance.

    “Moreover, the microbiota from DIO mice can weaken endothelial tight junctions and trigger inflammation in both intestine and brain and promote brain insulin resistance [73,74].”
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    Interpretationcitation
    § Adipose expansion

    Abdominal adipose expansion plays a central role in the transmission of peripheral inflammation to the central nervous system because immunometabolic consequences heighten the risk of depression.

    “As these immunometabolic consequences heighten the risk of depression [3], abdominal adipose expansion plays a central role in the transmission of peripheral inflammation to the CNS.”
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    Interpretationreasoning
    § Inflammatory conduits to the brain

    Peripheral immune activation figures prominently in the pathophysiology of psychiatric and metabolic disorders and is a prime instigator of depression onset in obesity.

    “Peripheral immune activation figures prominently in the pathophysiology of psychiatric and metabolic disorders and resonates as a prime instigator of depression onset in obesity.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § Inflammatory conduits to the brain

    Both diet and serum indices of inflammation associate with indices of emotional distress.

    “In turn, both diet and serum indices of inflammation associate with indices of emotional distress.”
    Quote in the paperSubstantial claim
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    Premisecitation
    § Gut dysbiosis

    While changes in microbiota composition are reported in individuals with major depressive disorder and can correlate with disease severity, the nature of microbiota alterations across studies is conflicting.

    “While changes in microbiota composition are reported in individuals with MDD and can correlate with disease severity, the nature of microbiota alterations across studies are conflicting [76].”
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    Premisecitation
    § Neuroplastic adaptations

    Chronic HFD exposure in rodents, leading to obesity, gives rise to impairments in prefrontal cortex-dependent functions accompanied by changes in dendritic spine density and synaptic remodeling.

    “chronic HFD exposure in rodents, leading to obesity, gives rise to impairments in prefrontal cortex-dependent functions that are accompanied by changes in dendritic spine density and synaptic remodeling [105].”
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    Premisecitation
    § Endocrine modulators of mood

    HPA dysregulation contributes to weight gain in stressed individuals via the actions of cortisol to trigger palatable food intake through brain GC receptors, an effect that leads to reduced HPA activity and short-term relief of negative affective states.

    “HPA dysregulation contributes to weight gain in stressed individuals via the actions of cortisol to trigger palatable food intake through brain GC receptors, an effect that leads to reduced HPA activity and short-term relief of negative affective states [119].”
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    § Treatment options

    Diabetes treatments could be repositioned to improve both depressive symptoms and diabetes concurrently and perhaps as an add-on strategy to improve the efficacy of other antidepressant drugs.

    “These collective findings suggest that diabetes treatments could be repositioned to improve both depressive symptoms and diabetes concurrently and perhaps as an add-on strategy to improve the efficacy of other antidepressant drugs.”
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    Premisecitation
    § Monoamine imbalances

    Obesity-induced increases in neuroinflammation suppress serotonin signaling by increasing its clearance from the synaptic cleft in the hippocampus, providing a potential synaptic mechanism for reduced SSRI responsiveness in obese individuals with depression.

    “obesity-induced increases in neuroinflammation were recently shown to suppress serotonin signaling by increasing its clearance from the synaptic cleft in the hippocampus [110], findings that provide a potential synaptic mechanism for reduced SSRI responsiveness in obese individuals with depression.”
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    Premisecitation
    § Leptin

    Leptin resistance can elicit depressive-like behaviors in rats and is associated with atypical features of depression (increased appetite and weight) in humans.

    “leptin resistance can elicit depressive-like behaviors in rats [144] and is associated with atypical features of depression (increased appetite and weight) in humans [145].”
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  • The paper relies on this without support.

    Findings from rodent models of obesity and depressive- and anxiety-like behaviors translate to human depression and anxiety.

    “Clinical observations combined with rodent models of obesity exhibiting depressive-and anxiety-like behaviors are proving valuable for uncovering the immunometabolic and neural mechanisms”
    “To this end, rodent research has revealed that prolonged high-fat diet (HFD) elicits metabolic dysfunction and increases anxiety-and depressive-like behaviors [28][29][30][31][32][33][34][35][36], heightens stress and hypothalamic-pituitary-adrenal (HPA) responses [37,38], and triggers neurobehavioral deficits associated with blunted mesolimbic dopamine function [39][40][41].”
  • The paper relies on this without support.

    Gut microbiota alterations observed in diet-induced obese mice translate to human obesity-related mood dysfunction.

    “Notably, both the obese phenotype [73] and anxiodepressive behaviors [74] are transmissible by transplanting gut microbiota of DIO to normal-weight, germ-free mice.”
  • The paper relies on this without support.

    Findings from rodent models of diet-induced obesity and depressive/anxiety-like behaviors can be generalized to human obesity-induced depression and anxiety.

    “The collective findings in rodents, along with reports of structural and functional changes in obese humans, support the clinical relevance of this mechanism.”
  • The paper relies on this without support.

    Obesity causally contributes to the development of depression and anxiety, rather than being solely a consequence or correlated.

    “New research developments uncovering the metabolic and neurobiological mechanisms by which obesity heightens the risk of depression and anxiety will prove valuable for evaluating new treatment strategies”
4 of 4

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

6 of the 173 references couldn’t be matched to a known paper.

Cited by

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Authors
Fulton, S., Décarie-Spain, L., Fioramonti, X., Guiard, B., & Nakajima, S.
Affiliations
  • Centre Hospitalier de l’Université de Montréal (CA)
  • Université de Bordeaux (FR)
  • Centre National de la Recherche Scientifique (FR)
Corresponding author
Fulton, Stephanie
Venue
Trends in Endocrinology & Metabolism
Publisher
Elsevier BV
Published
2022-01
Volume
33
Issue
1
Pages
18-35
ISSN
1043-2760 (ISSN-L)
OpenAlex
W3213132689
Cited by
441
References
173
Citations by year
2026: 75 · 2025: 135 · 2024: 100 · 2023: 92 · 2022: 39
FWCI
5.46
Type
journal article
Language
en
Open access
Locations
  • Trends in Endocrinology and Metabolism (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc-nd)
  • Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion, cc-by-nc-nd)
Funders
  • Fonds de Recherche du Québec - Santé
  • Japan Society for the Promotion of Science
Topics
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
Keywords
obesity, depression, anxiety, neuroinflammation, insulin resistance, leptin resistance, visceral adipose tissue, hypertension, metabolic dysfunction, neuroimmune dysfunction, mood regulation
MeSH terms
Anxiety, Depression, Humans, Inflammation, Obesity, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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